Tibetan Weibo User Group Division Based on User Behaviors for Analyzing Health Problems

Group division is a typical task involved in online social network analysis. Group division can be based on static and dynamic relationships. Compared to static group division, dynamic interactions between users can better reflect the intimacy of relationships between users in the online social network. This paper proposes a group division method based on the analysis of interactive behaviors among users and constructs a single-dimensional network structure between users based on behaviors of connecting, commenting, forwarding, and liking among users. Then, several single-dimensional networks are integrated into one complex network, this complex network is divided into groups and different groups of the online social network are identified. The experimental results show that the group division method based on users and behaviors is effective. The method proposed in this paper is used to identify Tibetan user groups and provides a theoretical basis for analyzing the health statuses of Tibetan user groups from online social networks.